Beynon, Malcolm James  ORCID: https://orcid.org/0000-0002-5757-270X and Jones, Paul
2010.
Fuzzy decision rule construction using fuzzy decision trees: application to E-Learning database.
Anbumani, K. and Nedunchezhian, R., eds.
Soft computing applications for database technologies: techniques and issues,
Hershey, PA.:
IGI Global,
pp. 104-124.
(10.4018/978-1-60566-814-7)
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Abstract
This chapter considers the soft computing approach called fuzzy decision trees (FDT), a form of classification analysis. The consideration of decision tree analysis in a fuzzy environment brings further interpretability and readability to the constructed ‘if .. then ..’ decision rules. Two sets of FDT analyses are presented, the first on a small example data set, offering a tutorial on the rudiments of one FDT technique. The second FDT analysis considers the investigation of an e-learning database, and the elucidation of the relationship between weekly online activity of students and their final mark on a university course module. Emphasis throughout the chapter is on the visualization of results, including the fuzzification of weekly online activity levels of students and overall performance.
| Item Type: | Book Section |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Business (Including Economics) |
| Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management L Education > L Education (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Additional Information: | Premier Reference Source |
| Publisher: | IGI Global |
| ISBN: | 9781605668147 |
| Related URLs: | |
| Last Modified: | 19 Oct 2022 10:20 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/24020 |
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